[[{“value”:”Great talk from Sendhil Mullainathan. He discusses how machine learning differs from causal inference, how ML can be used to develop new and strikingly original hypotheses, why economists are necessary for the design of recommendation systems and algorithms. Deep but accessible. Provides a very important roadmap for how humans and AI can work together on science.
The post Economics in the Age of Algorithms appeared first on Marginal REVOLUTION.”}]]
Great talk from Sendhil Mullainathan. He discusses how machine learning differs from causal inference, how ML can be used to develop new and strikingly original hypotheses, why economists are necessary for the design of recommendation systems and algorithms. Deep but accessible. Provides a very important roadmap for how humans and AI can work together on science.
The post Economics in the Age of Algorithms appeared first on Marginal REVOLUTION.
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